Privacy Analysis of a Networked Collaborative Recommendation System

Ville Ollikainen, Valtteri Niemi

Research output: Contribution to journalArticleScientificpeer-review

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The rapid expansion of available online services has raised concerns about user privacy. As a response to this concern, EU Parliament has recently approved General Data Protection Regulation, which aims to give citizens back control of their personal data. Built upon a recently developed token-based recommendation method (UPCV), we introduce in this paper a novel approach of networking collaborative recommendation engines and present the first results of a series of studies regarding its capability to protect user privacy.
Original languageEnglish
Pages (from-to)340-344
Number of pages5
JournalInternational Journal of Humanities and Management Sciences (IJHMS)
Issue number4
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed


  • data protection
  • GDPR
  • privacy
  • recommendations
  • targeted marketing
  • upcv

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